Performance Modeling Engineer
Core
Develop and apply performance modeling frameworks to evaluate AI system behavior, quantify tradeoffs, and inform next-generation infrastructure design.
Role type
Performance Modeling Engineer
Builds
Performance modeling tools and frameworks for AI system architecture
Domain
AI infrastructure, system architecture, hardware/software co-design
Deliverable
production ML models
Required skills
software engineering, systems modeling, performance analysis, programming, building technical tools, reasoning about performance bottlenecks, quantitative modeling
Preferred skills
AI/ML workloads, distributed systems, simulation tools, data center infrastructure, benchmarking, profiling tools
Technologies
simulation tools, performance modeling tools, profiling tools
Responsibilities
Develop and maintain performance modeling tools and frameworks; Build models to evaluate system behavior across compute, memory, and interconnect subsystems; Run simulations and analytical models to support architectural tradeoff analysis; Collaborate with performance modeling lead and system architects to answer forward-looking design questions; Analyze and interpret modeling outputs, translating results into actionable insights; Validate models against real system measurements and workload behavior
Seniority
Individual Contributor
